You will own the positioning, messaging, and go-to-market strategy for Toloka's AI products while translating complex technical capabilities into clear customer value. Additionally, you will act as a player-coach to build the product marketing function and enable sales teams with effective narratives and tools.
You will define the technical vision and research strategy for Toloka's core ML and post-training stack while bridging frontier AI research with large-scale platform engineering. You will lead the development of advanced RL frameworks, automated evaluation ecosystems, and model distillation initiatives to optimize platform performance.
You will own the end-to-end organic social media strategy and execution across multiple platforms to engage a highly technical audience. Additionally, you will manage executive thought leadership and collaborate cross-functionally to amplify company content and product announcements.
The Program Director will own and scale the execution of enterprise fine-tuning projects by managing client engagement and operational delivery. They will act as a bridge between client engineering teams and internal ML teams to scope, deliver, and optimize AI model fine-tuning engagements.
Own product positioning, messaging, audience segmentation, and go-to-market strategy for Toloka’s enterprise AI data solutions and self-service platform. Develop competitive intelligence, customer proof, sales enablement, and thought leadership while bringing customer and market insights into product and packaging decisions.
The Procurement & Budget Controller will manage the end-to-end purchase order lifecycle, vendor master data, and procurement workflows within NetSuite. Additionally, the role involves monitoring spending against budgets, preparing month-end accruals, and ensuring financial process compliance.
The engineer will own infrastructure security, vulnerability management, and cloud hardening across multiple providers. They will also maintain service mesh security, implement policy-as-code, and conduct security architecture reviews.
The AI Data Project Manager will own the delivery of data projects, ensuring quality, timelines, and unit economics are met. They will lead cross-functional teams and manage internal and external communications to drive project success.
You will own the end-to-end fine-tuning, reinforcement learning, and evaluation stack while bridging applied research with product engineering. This involves spearheading post-training initiatives, building evaluation harnesses, and transforming complex experiments into scalable platform features.
You will source and secure new data partnerships by identifying and pitching to businesses that have not previously sold their operational data. You will manage the end-to-end deal process, including negotiation, legal coordination, and scaling pilot programs into long-term agreements.
You will design, train, and deploy AI agents while managing the full ML lifecycle from research to production scaling. You will also build agentic workflows in Python and implement observability metrics to ensure system reliability.
Act as a senior technical advisor to client executives to design and implement rigorous AI data strategies. Build hands-on data-generation, labeling, and evaluation pipelines to improve the performance of Large Language Models.
Design and implement end-to-end AI data labeling pipelines and tailored data solutions for customers. Act as a primary technical advisor to translate client needs into actionable delivery plans and scalable AI solutions.
